Autonomous learning for fuzzy systems: a review
As one of the three pillars in computational intelligence, fuzzy systems are a powerful
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …
mathematical tool widely used for modelling nonlinear problems with uncertainties. Fuzzy …
An overview on evolving systems and learning from stream data
Evolving systems unfolds from the interaction and cooperation between systems with
adaptive structures, and recursive methods of machine learning. They construct models and …
adaptive structures, and recursive methods of machine learning. They construct models and …
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A survey
Major assumptions in computational intelligence and machine learning consist of the
availability of a historical dataset for model development, and that the resulting model will, to …
availability of a historical dataset for model development, and that the resulting model will, to …
Big data analytics and application for logistics and supply chain management
This special issue explores big data analytics and applications for logistics and supply chain
management by examining novel methods, practices, and opportunities. The articles present …
management by examining novel methods, practices, and opportunities. The articles present …
An incremental learning of concept drifts using evolving type-2 recurrent fuzzy neural networks
The age of online data stream and dynamic environments results in the increasing demand
of advanced machine learning techniques to deal with concept drifts in large data streams …
of advanced machine learning techniques to deal with concept drifts in large data streams …
Evolving ensemble fuzzy classifier
The concept of ensemble learning offers a promising avenue in learning from data streams
under complex environments because it better addresses the bias and variance dilemma …
under complex environments because it better addresses the bias and variance dilemma …
A self-adaptive online brain–machine interface of a humanoid robot through a general type-2 fuzzy inference system
This paper presents a self-adaptive autonomous online learning through a general type-2
fuzzy system (GT2 FS) for the motor imagery (MI) decoding of a brain-machine interface …
fuzzy system (GT2 FS) for the motor imagery (MI) decoding of a brain-machine interface …
Online active learning in data stream regression using uncertainty sampling based on evolving generalized fuzzy models
E Lughofer, M Pratama - IEEE Transactions on fuzzy systems, 2017 - ieeexplore.ieee.org
In this paper, we propose three criteria for efficient sample selection in case of data stream
regression problems within an online active learning context. The selection becomes …
regression problems within an online active learning context. The selection becomes …
Topology learning-based fuzzy random neural networks for streaming data regression
As a type of evolving-fuzzy system, the evolving-fuzzy-neuro (EFN) system uses the structure
inspired by neural networks to determine its parameters (fuzzy sets and fuzzy rules), so EFN …
inspired by neural networks to determine its parameters (fuzzy sets and fuzzy rules), so EFN …
Nonlinear systems modelling based on self-organizing fuzzy neural network with hierarchical pruning scheme
H Zhou, Y Zhang, W Duan, H Zhao - Applied Soft Computing, 2020 - Elsevier
In this paper, a self-organizing fuzzy neural network with hierarchical pruning scheme
(SOFNN-HPS) is proposed for nonlinear systems modelling in industrial processes. In …
(SOFNN-HPS) is proposed for nonlinear systems modelling in industrial processes. In …